Build machine learning software for automotive manufacturing with Python and production model deployment. Work hybrid in Woodstock, Ontario, with weekly Cambridge travel.
As an ML software engineer consultant, you will develop applications through full software development cycles. Your work will use supervised and unsupervised machine learning to identify opportunities improving operating rate and machine reliability. The project focuses on creating and training models for path optimization problems.
Key Responsibilities: Create current products and features in applications
Train models for path optimization problems
Support production systems during fixed rotations
Visit the production floor to understand processes
Participate in the core SCRUM team
Requirements: Hands-on supervised and unsupervised machine learning experience
Experience training, optimizing, and deploying production models
Python experience for AI solutions
Willingness to work four days in-office weekly
Availability for weekly travel to Cambridge, Ontario
Apply machine learning, Python, and production deployment expertise to automotive manufacturing applications supporting reliability and operating-rate improvements.